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Posted to issues@spark.apache.org by "Kunal Khamar (JIRA)" <ji...@apache.org> on 2017/03/08 21:14:37 UTC
[jira] [Updated] (SPARK-19873) If the user changes the shuffle
partition number between batches, Streaming aggregation will fail.
[ https://issues.apache.org/jira/browse/SPARK-19873?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kunal Khamar updated SPARK-19873:
---------------------------------
Description:
It the user changes the shuffle partition number between batches, Streaming aggregation will fail.
Here are some possible cases:
- Change "spark.sql.shuffle.partitions"
- Use "repartition" and change the partition number in codes
- RangePartitioner doesn't generate deterministic partitions. Right now it's safe as we disallow sort before aggregation. Not sure if we will add some operators using RangePartitioner in future.
Fix:
Record # shuffle partition in offset log and enforce in next batch
> If the user changes the shuffle partition number between batches, Streaming aggregation will fail.
> --------------------------------------------------------------------------------------------------
>
> Key: SPARK-19873
> URL: https://issues.apache.org/jira/browse/SPARK-19873
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.1.0
> Reporter: Kunal Khamar
>
> It the user changes the shuffle partition number between batches, Streaming aggregation will fail.
> Here are some possible cases:
> - Change "spark.sql.shuffle.partitions"
> - Use "repartition" and change the partition number in codes
> - RangePartitioner doesn't generate deterministic partitions. Right now it's safe as we disallow sort before aggregation. Not sure if we will add some operators using RangePartitioner in future.
> Fix:
> Record # shuffle partition in offset log and enforce in next batch
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